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2024 MIDL MIDL 2024

Reducing Uncertainty in 3D Medical Image Segmentation under Limited Annotations through Contrastive Learning

Abstract

No abstract available. No abstract was captured for this paper when its proceedings were scraped - most often an older edition published without one online. How the corpus is built.

🌉 Interdisciplinary Bridge - Artificial Intelligence and Computer Vision and Healthcare & Medicine

Authors

Sanaz Jarimijafarbigloo, Reza Azad, Amirhossein Kazerouni, Dorit Merhof

Topics

Machine Learning > Learning Types > Self-Supervised Learning Computer Vision > Processing > Image Segmentation Healthcare & Medicine > Clinical > Medical Imaging

Keywords

contrastive learning class prototype pixel-level segmentation deep contrastive learning uncertainty attention map uncertainty-aware descriptor
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